Triple
T3708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Great Britain |
E70
|
entity |
| Predicate | governmentForm |
P220
|
FINISHED |
| Object | constitutional monarchy |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: constitutional monarchy | Statement: [Kingdom of Great Britain, governmentForm, constitutional monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentForm Context triple: [Kingdom of Great Britain, governmentForm, constitutional monarchy]
-
A.
legalForm
Indicates the specific legal structure or organizational type under which an entity is formally constituted and recognized by law.
-
B.
governmentType
chosen
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
-
C.
governance
Indicates the relationship in which one entity exercises authority, control, or decision-making power over the policies, actions, or direction of another entity or system.
-
D.
submittedTo
Indicates that one entity has formally sent or presented something (such as a document, request, or work) to another entity for consideration, review, or processing.
-
E.
leftOffice
Indicates that an entity ceased holding or performing the duties of a particular office or position.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a238d6b47881909e68288aed2fd858 |
completed | Feb. 28, 2026, 12:37 a.m. |
| NER | Named-entity recognition | batch_69a23bcc8eb48190b897cc331563980a |
completed | Feb. 28, 2026, 12:50 a.m. |
| PD | Predicate disambiguation | batch_69a23994309081909ff3e869deef2156 |
completed | Feb. 28, 2026, 12:40 a.m. |
Created at: Feb. 28, 2026, 12:40 a.m.